[codeenlightener]

> It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example?

> Don't you want to use the average instead of "0.5"?

It's from the real implementation. The code was some code a user sent in, which I ran the tool on.

> I tried and got the same outcome.

I fixed the waitlist– there was a problem, where if you typed your email then filled out the rest of the form without editing the email field, the waitlist signup would fail.

The live demo works for me and a couple others.

[gus_massa]

Now the demo is working and fast now.

I tried variations of the same code, changing the name of the `inner` function to `temp` and `banana`. In each of them I got a different explanation, for example:

> - The code is a function that takes in an input tensor and returns the squared difference between it and 0.5.

that I think it's more correct than "mean squared error". You should change that example.

I also got:

> - The code is called l2, which stands for "linear regression."

That is wrong.

[codeenlightener]

> that I think it's more correct than "mean squared error". You should change that example.

Thank you for the feedback.

> - The code is called l2, which stands for "linear regression."

If you can give me the full explanation, I can see what I can do to improve the accuracy there. (It's needed for debugging.)

Over time, more data will be added in the future so that accuracy and detail improves.